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Pricing policy for declining demand using item preservation technology

We have designed an inventory model for seasonal products in which deterioration can be controlled by item preservation technology investment. Demand for the product is considered price sensitive and decreases linearly. This study has shown that the profit is a concave function of optimal selling pr...

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Detalles Bibliográficos
Autores principales: Khedlekar, Uttam Kumar, Shukla, Diwakar, Namdeo, Anubhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106420/
https://www.ncbi.nlm.nih.gov/pubmed/27933237
http://dx.doi.org/10.1186/s40064-016-3627-x
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author Khedlekar, Uttam Kumar
Shukla, Diwakar
Namdeo, Anubhav
author_facet Khedlekar, Uttam Kumar
Shukla, Diwakar
Namdeo, Anubhav
author_sort Khedlekar, Uttam Kumar
collection PubMed
description We have designed an inventory model for seasonal products in which deterioration can be controlled by item preservation technology investment. Demand for the product is considered price sensitive and decreases linearly. This study has shown that the profit is a concave function of optimal selling price, replenishment time and preservation cost parameter. We simultaneously determined the optimal selling price of the product, the replenishment cycle and the cost of item preservation technology. Additionally, this study has shown that there exists an optimal selling price and optimal preservation investment to maximize the profit for every business set-up. Finally, the model is illustrated by numerical examples and sensitive analysis of the optimal solution with respect to major parameters.
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spelling pubmed-51064202016-12-08 Pricing policy for declining demand using item preservation technology Khedlekar, Uttam Kumar Shukla, Diwakar Namdeo, Anubhav Springerplus Research We have designed an inventory model for seasonal products in which deterioration can be controlled by item preservation technology investment. Demand for the product is considered price sensitive and decreases linearly. This study has shown that the profit is a concave function of optimal selling price, replenishment time and preservation cost parameter. We simultaneously determined the optimal selling price of the product, the replenishment cycle and the cost of item preservation technology. Additionally, this study has shown that there exists an optimal selling price and optimal preservation investment to maximize the profit for every business set-up. Finally, the model is illustrated by numerical examples and sensitive analysis of the optimal solution with respect to major parameters. Springer International Publishing 2016-11-11 /pmc/articles/PMC5106420/ /pubmed/27933237 http://dx.doi.org/10.1186/s40064-016-3627-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Khedlekar, Uttam Kumar
Shukla, Diwakar
Namdeo, Anubhav
Pricing policy for declining demand using item preservation technology
title Pricing policy for declining demand using item preservation technology
title_full Pricing policy for declining demand using item preservation technology
title_fullStr Pricing policy for declining demand using item preservation technology
title_full_unstemmed Pricing policy for declining demand using item preservation technology
title_short Pricing policy for declining demand using item preservation technology
title_sort pricing policy for declining demand using item preservation technology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5106420/
https://www.ncbi.nlm.nih.gov/pubmed/27933237
http://dx.doi.org/10.1186/s40064-016-3627-x
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